Abstract
The first task of the city planner is to effectively locate integrated land use types for various objectives. The Multi Objective Land Use Planning Model developed to achieve this goal, aims to maximize land value and minimize the transportation. The genetic algorithm method developed to find the optimum layout according to the Multi-Objective Land Use Planning Model has been explained, the success and performance of the process has been tested with artificial data, and its usability in real problems has been examined. According to the results of the study, using this method, it is revealed that layout plans that are very close to the maximum efficiency value can be found within 1 day in cities with a population of up to 1,000,000, within 1 week in cities up to 5,000,000, and within 1.5 months in cities close to 16,000,000. By examining the results, the deficiencies of this method are determined and the suggestions for improvement of this method are stated. The problem chosen in this study is a problem that most city planners have to solve and the developed application has been opened to the use of other experts. This makes this work unique as it allows planning experts who are incapable of developing such methods to experiment.
Highlights
A city consists of various functions that serve different objectives and affect each other differently
The optimum solution of the Multi-Objective Land Use Planning Model, which was described by Dökmeci (2015) as a problem was determined, the methods that can be used to solve this problem were evaluated, an application using genetic algorithm was developed, the success rate of this application was analyzed and the usage possibilities were evaluated
The results of the study showed that the proposed method is consistent and can create an optimal land use scenario according to the preferred goals of stakeholders, having the potential to provide interactive technical support for land use planning
Summary
A city consists of various functions that serve different objectives and affect each other differently. Haque & Asami (2014) stated that the urban land use decision-making process is always complex and the reasons for this complexity are the increased participation of stakeholders, the variety and variability of interests and priorities, as well as the contradictory, non-linear and non-aggregable nature of goals They stated that land use allocation is a multi-objective optimization problem. The optimum solution of the Multi-Objective Land Use Planning Model, which was described by Dökmeci (2015) as a problem was determined, the methods that can be used to solve this problem were evaluated, an application using genetic algorithm was developed, the success rate of this application was analyzed and the usage possibilities were evaluated. If we assume that we calculate each plan in 1 second, we will need 34,865 years for all
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